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Business analytics has grown to be a key topic in business
curricula, and there is a need for stronger quantitative skills and
understanding of fundamental concepts. This book is intended to
present key concepts related to quantitative analysis in business.
It is targeted to business students, undergraduate and graduate,
taking an introductory core course. Topics covered include
knowledge management, visualization, sampling and hypothesis
testing, regression (simple, multiple, and logistic), as well as
optimization modeling. It concludes with a brief overview of data
mining. Concepts are demonstrated with worked examples.
This book presents key concepts related to quantitative analysis in
business. It is targeted at business students (both undergraduate
and graduate) taking an introductory core course. Business
analytics has grown to be a key topic in business curricula, and
there is a need for stronger quantitative skills and understanding
of fundamental concepts. This second edition adds material on
Tableau, a very useful software for business analytics. This
supplements the tools from Excel covered in the first edition, to
include Data Analysis Toolpak and SOLVER.
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